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Xenova/
bert-base-chinese

Name: bert-base-chinese
Availability: InStock

google-bert/bert-base-chinese

quantized

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https://huggingface.co/bert-base-chinese with ONNX weights to be compatible with Transformers.js.

Usage (Transformers.js)

If you haven't already, you can install the Transformers.js JavaScript library from NPM using:

npm i @huggingface/transformers

Example: Perform masked language modelling (a.k.a. "fill-mask").

import { pipeline } from '@huggingface/transformers';

const unmasker = await pipeline('fill-mask', 'Xenova/bert-base-chinese');
const output = await unmasker('The goal of life is [MASK].');

Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).